Model-Free Predictive Current Control of Reduced Matrix Converter Based on Extended State Observer

To address the performance degradation of the traditional reduced matrix converter (RMC) control strategy caused by parameter variations and external disturbances, a model-free predictive current control method based on an extended state observer (ESO) is proposed. First, an ultra-local model is established to predict the current without requiring an accurate mathematical model of the system. Then, the extended state observer is used to estimate the total disturbance in the ultra-local model, and the optimal voltage vector is selected through a cost function. Finally, comparative simulations between conventional model predictive control and the proposed extended state observer based model-free predictive control are conducted. The simulation results demonstrate that the proposed method achieves improved dynamic and steady-state performance and effectively enhances the disturbance rejection capability of the system.